Literature DB >> 19084363

A qualitative approach to combined magnetic resonance imaging and spectroscopy in the diagnosis of prostate cancer.

Geert M Villeirs1, Willem Oosterlinck, Els Vanherreweghe, Gert O De Meerleer.   

Abstract

PURPOSE: To investigate the feasibility and diagnostic value of a whole prostate qualitative approach to combined magnetic resonance imaging and spectroscopy (MRI+MRS) in the detection of prostate cancer in patients with elevated PSA.
MATERIALS AND METHODS: Three hundred and fifty six subjects (mean serum PSA 11.47ng/ml, range 0.40-133ng/ml) were examined with fast-T2-weighted images (MRI) and 3D-magnetic resonance spectroscopy (MRS). Both modalities were qualitatively analyzed on a whole prostate basis by a single radiologist using a 4-point diagnostic scale. Prostate cancer was histopathologically proven in 220 patients and non-evidence of cancer was determined after at least 12 months clinical follow-up in 136 subjects.
RESULTS: Receiver operating curve analysis revealed a significantly better diagnostic performance of MRI+MRS (A(z)=0.857) than MRI alone (A(z)=0.801) and MRS alone (A(z)=0.810). The sensitivity, specificity and accuracy of MRI+MRS for detection of prostate cancer were 72.3%, 92.6%, and 80.1%, respectively.
CONCLUSIONS: Spectral evaluation with a whole prostate qualitative approach is feasible in routine clinical practice. The combination of MRI and MRS yields superior diagnostic results than either modality alone. Copyright (c) 2008 Elsevier Ireland Ltd. All rights reserved.

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Year:  2008        PMID: 19084363     DOI: 10.1016/j.ejrad.2008.10.034

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  16 in total

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Authors:  Piotr Kozlowski; Silvia D Chang; Ran Meng; Burkhard Mädler; Robert Bell; Edward C Jones; S Larry Goldenberg
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Journal:  JAMA       Date:  2015-01-27       Impact factor: 56.272

3.  Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer detection.

Authors:  P Tiwari; S Viswanath; J Kurhanewicz; A Sridhar; A Madabhushi
Journal:  NMR Biomed       Date:  2011-09-30       Impact factor: 4.044

4.  What kind of prostate cancers do we miss on multiparametric magnetic resonance imaging?

Authors:  Pieter Julien Luc De Visschere; Leslie Naesens; Louis Libbrecht; Charles Van Praet; Nicolaas Lumen; Valérie Fonteyne; Eva Pattyn; Geert Villeirs
Journal:  Eur Radiol       Date:  2015-07-03       Impact factor: 5.315

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Authors:  Kristine Glunde; Lu Jiang; Siver A Moestue; Ingrid S Gribbestad
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Review 6.  A decade in prostate cancer: from NMR to metabolomics.

Authors:  Elita M DeFeo; Chin-Lee Wu; W Scott McDougal; Leo L Cheng
Journal:  Nat Rev Urol       Date:  2011-05-17       Impact factor: 14.432

7.  What Are We Missing? False-Negative Cancers at Multiparametric MR Imaging of the Prostate.

Authors:  Samuel Borofsky; Arvin K George; Sonia Gaur; Marcelino Bernardo; Matthew D Greer; Francesca V Mertan; Myles Taffel; Vanesa Moreno; Maria J Merino; Bradford J Wood; Peter A Pinto; Peter L Choyke; Baris Turkbey
Journal:  Radiology       Date:  2017-10-20       Impact factor: 11.105

8.  Anatomic segmentation improves prostate cancer detection with artificial neural networks analysis of 1H magnetic resonance spectroscopic imaging.

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Journal:  J Magn Reson Imaging       Date:  2013-11-15       Impact factor: 4.813

9.  Multiparametric magnetic resonance imaging characteristics of normal, benign and malignant conditions in the prostate.

Authors:  Pieter J L De Visschere; Anne Vral; Gianpaolo Perletti; Eva Pattyn; Marleen Praet; Vittorio Magri; Geert M Villeirs
Journal:  Eur Radiol       Date:  2016-08-04       Impact factor: 5.315

10.  ESUR prostate MR guidelines 2012.

Authors:  Jelle O Barentsz; Jonathan Richenberg; Richard Clements; Peter Choyke; Sadhna Verma; Geert Villeirs; Olivier Rouviere; Vibeke Logager; Jurgen J Fütterer
Journal:  Eur Radiol       Date:  2012-02-10       Impact factor: 5.315

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